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Issue No.02 - February (2010 vol.43)
pp: 56-62
Marios Savvides , Carnegie Mellon University
Karl Ricanek Jr. , University of North Carolina, Wilmington
Damon L. Woodard , Clemson University
Gerry Dozier , North Carolina Agricultural and Technical State University
Research from the Center for Advanced Studies in Identity Sciences is aggressively addressing the challenges of face and iris recognition when the subjects of interest are operating in an unconstrained environment, typically far away from the sensor, partially obscured, or moving.
Unconstrained biometrics, Face recognition, Age progression, Age estimation, Ocular recognition
Marios Savvides, Karl Ricanek Jr., Damon L. Woodard, Gerry Dozier, "Unconstrained Biometric Identification: Emerging Technologies", Computer, vol.43, no. 2, pp. 56-62, February 2010, doi:10.1109/MC.2010.55
1. R.E. Kalman, "A New Approach to Linear Prediction Problems," Trans. Am. Soc. Mechanical Eng.—J. Basic Eng., Mar. 1960, pp. 35-45.
2. F. Gustafsson et al., "Particle Filters for Positioning, Navigation, and Tracking" IEEE Trans. Signal Processing, vol. 50, no. 2, 2002, pp. 425-437.
3. Y. Bar Shalom, X.R. Li, and T. Kirubarajan, Estimation with Applications to Tracking and Navigation, Wiley & Sons, 2001.
4. K. Seshadri and M. Savvides, "Robust Modified Active Shape Model for Automatic Facial Landmark Annotation of Frontal Faces," Proc. 3rd IEEE Int'l Conf. Biometrics:Theory, Applications and Systems (BTAS 09), IEEE Press, 2009, pp. 1-5.
5. V. Blanz and T. Vetter, "Face Recognition Based on Fitting a 3D Morphable Model," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 25, no. 9, 2003, pp. 1063-1074.
6. C. Loop, "Bounded Curvature Triangle Mesh Subdivision with the Convex Hull Property," The Visual Computer, vol. 18, nos. 5-6, 2002, pp. 316-325.
7. A. Lanitis, C.J. Taylor, and T.F. Cootes, "Modeling the Process of Aging in Face Images," Proc. IEEE Int'l Conf. Computer Vision (ICCV 99), IEEE Press, 1999, pp. 131-136.
8. S. Yan et al., "Regression from Patch-Kernel," Proc. IEEE Int'l Conf. Pattern Recognition (ICPR 08), IEEE Press, 2008, pp. 1-8.
9. S.W. Park and M. Savvides, "Breaking the Limitation of Manifold Analysis for Super-Resolution of Facial Images," Proc. IEEE Int'l Conf. Acoustics, Speech, and Signal Processing (ICASSP 07), IEEE Press, 2007, pp. 573-576.
10. S.W. Park and M. Savvides, "Locality Preserving Projections as a New Manifold Analysis Approach for Robust Face Super-Resolution," Proc. SPIE Defense and Security Symp. Biometric Identification Technologies, SPIE, 2007, p. 65390H.
11. J. Daugman, "How Iris Recognition Works," IEEE Trans. Circuits and Systems for Video Technology, Jan. 2004, pp. 21-30.
12. P. Miller et al., "Personal Identification Using Periocular Skin Texture," Proc. ACM 25th Symp. Applied Computing, ACM Press, 2010 (to appear).
13. T. Ojala, M. Pietikainen, and T. Maenpaa, "Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 24, no. 7, 2002, pp. 971-987.
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